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1-Create a scenario that would require the use of the simple linear regression. This means both variables must be interval or ratio scale data. Examples

1-Create a scenario that would require the use of the simple linear regression. This means both variables must be interval or ratio scale data. Examples include looking at:

  • the relationship between the number of calories burned in a workout and the rating of hunger after the workout
  • the relationship between people's satisfaction with life scores and their number of hours per year of volunteer work
  • The relationship between the number of hours of sleep people get per night and your choice of one test of cognitive function or ratings of general physical wellness (use validated measures for examples like these). Google for "validated test of..." to find examples or real scales or measurement tools.

2-write your research question and matching hypothesis (What is the relationship between X and Y." Null hypothesis, "there is no relationship between X and Y".) , null/alternative hypothesis and variables

3-) Method, sample size, sampling method, and measurement methods you might use to have collected the mock data for your study.

4-What is the variable x and the variable y?

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